New Placental MRI Imaging Method Detects Complications Early in Pregnancy
By MedImaging International staff writers Posted on 18 Aug 2022 |

The placenta plays a key role in fetal development and pregnancy morbidity, as well as neonatal, pediatric and even lifelong health. As the primary source of oxygen and nutrients for a developing fetus, abnormal placental development can be dangerous and has been linked to many adverse outcomes, including abnormalities in fetal growth, preeclampsia, which is the development of high blood pressure during pregnancy, preterm labor and stillbirth. The placenta is a dynamic organ that evolves over the course of pregnancy to support fetal development, so poor placental function early in pregnancy can become an ongoing and increasing health concern both to mother and baby. Despite the detrimental impact of abnormal placental development, existing methods for evaluating placental function are often ineffective and limited in their ability to reliably detect risks during pregnancy. In prenatal care settings, most clinicians rely on ultrasound to take measurements of fetal growth and blood flow, but this method is limited in scope. Now, researchers have developed a new imaging method to measure the health of a placenta, which could help clinicians identify complications early in a pregnancy. The researchers used magnetic resonance imaging, commonly known as MRIs, and could be replicated on virtually all modern MRI scanners. With quick data analysis, researchers noted that the imaging method could be easily adopted by clinicians.
Researchers at Oregon Health & Science University (OSHU, Portland, OR, USA) conducted a study to explore how an MRI could be used to give clinicians a more detailed look at placental health than the traditional ultrasound provides, and to better understand an MRI’s effectiveness in detecting placental abnormalities during pregnancy. Their ultimate goal is to reduce fetal and maternal complications associated with placental dysfunction. The study gathered data from 316 pregnant women, including individuals considered both low-risk and high-risk for pregnancy complications.
The OHSU research team developed and validated an MRI protocol that detects a signal in the blood that is linked to oxygen content. This readout is known as T2*, and T2* values provide key information about oxygen availability and placental blood flow. Oxygen is key for fetal growth and development, so if these values deviate from the normal range, it suggests that something might be wrong. T2* values outside of the normal range could indicate an issue related to the maternal blood supply of oxygen, compromised placental transport or fetal utilization of oxygen.
The study first established a baseline to determine what occurs throughout the course of an uncomplicated pregnancy. Participants underwent three MRI studies during weeks 10 through 40 of pregnancy. Researchers then looked at the ability of MRI to successfully identify complications in pregnancy using the T2* readings produced from the procedures. The study results suggest that even data from early on in pregnancy - 10 to 20 weeks - can be effective in the identification of at-risk pregnancies. Additionally, the MRIs in the study were performed using the imaging protocol developed by the OHSU team that could be implemented on virtually all modern MRI scanners, and data analysis is quick to perform, indicating that this method may be easily adopted and expanded for use across prenatal health care settings.
“Any research that helps us find ways to improve prenatal care is crucial,” said Victoria HJ Roberts, Ph.D., research associate professor in the Division of Developmental and Reproductive Sciences at OHSU’s Oregon National Primate Research Center, who co-led the study. “Pregnancy can be extremely taxing, both emotionally and physically, especially for someone who is experiencing a complicated pregnancy. It’s exciting that this research has identified a more effective way to detect complications early in pregnancy, so clinicians are able to provide the best care to the mother and developing baby.”
Related Links:
OSHU
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read more
Novel Imaging Method Enables Early Diagnosis and Treatment Monitoring of Type 2 Diabetes
Type 2 diabetes is recognized as an autoimmune inflammatory disease, where chronic inflammation leads to alterations in pancreatic islet microvasculature, a key factor in β-cell dysfunction.... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible
Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more